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顶层设计定方向!“人工智能+”锚定发展节奏
Guo Ji Jin Rong Bao·2025-08-27 11:17

Core Viewpoint - The State Council's issuance of the "Opinions on Deepening the Implementation of the 'Artificial Intelligence+' Action" aims to accelerate the development of artificial intelligence (AI) in China, transitioning from experimental exploration to value creation, with a clear three-step plan for AI integration into key sectors by 2035 [1] Group 1: Development Goals - By 2027, AI is expected to achieve widespread integration with six key sectors, with over 70% application penetration of new intelligent terminals and agents, and a significant increase in the scale of the core AI industry [1] - By 2030, AI applications are projected to exceed 90% penetration, becoming a crucial growth driver for the economy and enhancing public governance [1] - By 2035, China aims to fully enter a new stage of intelligent economy and society, supporting the realization of socialist modernization [1] Group 2: Key Actions and Support Capabilities - The "Opinions" outline six key actions for implementation, including AI in science and technology, industrial development, consumer quality enhancement, public welfare, governance capabilities, and global cooperation [1] - Eight foundational support capabilities are emphasized, such as improving model capabilities, enhancing data supply innovation, and strengthening talent development [1] Group 3: Industry Perspectives - Experts highlight that China's rich application scenarios and strong digital foundations in advanced manufacturing will support the sustainable development of AI technologies [2] - The release of the "Opinions" is seen as timely, with calls for coordinated efforts across regions and sectors to ensure effective implementation [2] - Companies like Jieyue Xincheng are aligning their technology and industry strategies with the goals set out in the "Opinions," focusing on foundational model development and multi-modal applications [3] Group 4: Corporate Insights - Lenovo's chairman emphasizes the shift towards human-machine collaboration as a new norm in enterprise operations, advocating for a holistic transformation rather than fragmented upgrades [4] - The potential risks associated with AI development are acknowledged, with a call for companies to leverage AI innovations while ensuring they meet human needs and adhere to ethical standards [4]